Nowadays, the importance of bibliographic databases (DBs) has increased enormously, as they are the main providers of publication metadata and bibliometric indicators universally used both for research assessment practices and for performing daily tasks. Because the reliability of these tasks firstly depends on the data source, all users of the DBs should be able to choose the most suitable one. Web of Science (WoS) and Scopus are the two main bibliographic DBs. The comprehensive evaluation of the DBs’ coverage is practically impossible without extensive bibliometric analyses or literature reviews, but most DBs users do not have bibliometric competence and/or are not willing to invest additional time for such evaluations. Apart from that, the convenience of the DB’s interface, performance, provided impact indicators and additional tools may also influence the users’ choice. The main goal of this work is to provide all of the potential users with an all-inclusive description of the two main bibliographic DBs by gathering the findings that are presented in the most recent literature and information provided by the owners of the DBs at one place. This overview should aid all stakeholders employing publication and citation data in selecting the most suitable DB.

Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World

Web of Science and Scopus are two world-leading and competing citation databases. By using the Science Citation Index Expanded and Social Sciences Citation Index, this paper conducts a comparative, dynamic, and empirical study focusing on the use of Web of Science (WoS) and Scopus in academic papers published during 2004 and 2018. This brief communication reveals that although both Web of Science and Scopus are increasingly used in academic papers, Scopus as a new-comer is really challenging the dominating role of WoS. Researchers from more and more countries/regions and knowledge domains are involved in the use of these two databases. Even though the main producers of related papers are developed economies, some developing economies such as China, Brazil and Iran also act important roles but with different patterns in the use of these two databases. Both two databases are widely used in meta-analysis related studies especially for researchers in China. Health/medical science related domains and the traditional Information Science and Library Science field stand out in the use of citation databases.

https://link.springer.com/content/pdf/10.1007/s11192-020-03387-8.pdf

A tale of two databases: the use of Web of Science and Scopus in academic papers

Web of Science (WoS) is the world’s oldest, most widely used and authoritative database of research publications and citations. Based on the Science Citation Index, founded by Eugene Garfield in 19...

/pdf/web-of-science-as-a-data-source-for-research-on-scientific-4tby7u1166.pdf

Web of Science as a data source for research on scientific and scholarly activity

Rising political polarization is, in part, attributed to the fragmentation of news media and the spread of misinformation on social media. Previous reviews have yet to assess the full breadth of re...

https://www.tandfonline.com/doi/pdf/10.1080/23808985.2021.1976070

The role of (social) media in political polarization: a systematic review

Water is of vital and critical importance to ecosystems and human societies. The effects of human activities on land and water are now large and extensive. These reflect physical changes to the environment. Global change such as urbanization, population growth, socioeconomic change, evolving energy needs, and climate change have put unprecedented pressure on water resources systems. It is argued that achieving water security throughout the world is the key to sustainable development. Studies on holistic view with persistently changing dimensions is in its infancy. This study focuses on narrative review work for giving a comprehensive insight on the concept of water security, its evolution with recent environmental changes (e.g., urbanization, socioeconomic, etc.) and various implications. Finally, it presents different sustainable solutions to achieve water security. Broadly, water security evolves from ensuring reliable access of enough safe water for every person (at an affordable price where market mechanisms are involved) to lead a healthy and productive life, including that of future generations. The constraints on water availability and water quality threaten secured access to water resources for different uses. Despite recent progress in developing new strategies, practices and technologies for water resource management, their dissemination and implementation has been limited. A comprehensive sustainable approach to address water security challenges requires connecting social, economic, and environmental systems at multiple scales. This paper captures the persistently changing dimensions and new paradigms of water security providing a holistic view including a wide range of sustainable solutions to address the water challenges.

https://www.mdpi.com/2073-4441/13/4/490/pdf

Water Security in a Changing Environment: Concept, Challenges and Solutions

Clarivate Analytics’s Web of Science (WoS) is the world’s leading scientific citation search and analytical information platform. It is used as both a research tool supporting a broad array of scientific tasks across diverse knowledge domains as well as a dataset for large-scale data-intensive studies. WoS has been used in thousands of published academic studies over the past 20 years. It is also the most enduring commercial legacy of Eugene Garfield. Despite the central position WoS holds in contemporary research, the quantitative impact of WoS has not been previously examined by rigorous scientific studies. To better understand how this key piece of Eugene Garfield’s heritage has contributed to science, we investigated the ways in which WoS (and associated products and features) is mentioned in a sample of 19,478 English-language research and review papers published between 1997 and 2017, as indexed in WoS databases. We offered descriptive analyses of the distribution of the papers across countries, institutions and knowledge domains. We also used natural language processingtechniques to identify the verbs and nouns in the abstracts of these papers that are grammatically connected to WoS-related phrases. This is the first study to empirically investigate the documentation of the use of the WoS platform in published academic papers in both scientometric and linguistic terms.

/pdf/web-of-science-use-in-published-research-and-review-papers-4922paih0k.pdf

Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis

The present invention relates to enhanced workflow solutions for authors (e.g., researchers, scientists, and scholarly authors) and publishers (e.g., journals and professional and technical societies) in preparing documents in structured format for facilitating efficient and accurate validation of references cited or included in papers and other submissions for publication or for review. An author prepares a document containing a set of cited references using a formatting structure. A system includes a processor to process the document to extract embedded metadata associated with the set of cited references. The processor executes code associated with a reference validation software module and automatically recognizes the formatting structure and the embedded metadata. The processor automatically extracts the embedded metadata and compares the extracted metadata against an authority database to determine the validity of the set of cited references.

Method and system for validating references

The present invention comprises a system and method for automatically processing one or more citations contained within a document while the document is presented by a document rendering application. The method of the present invention comprises scanning the document to identify an unformatted citation and parsing the unformatted citation to determine one or more citation terms. One or more citation libraries are queried to find citations comprising the one or more citation terms. A citation falling within the scope of the query is selected and inserted into the document. The present invention may further provide enhanced workflow solutions for authors and publishers in preparing documents in structured format for facilitating efficient and accurate validation of references cited or included in papers and other submissions for publication or for review. An author prepares a document containing a set of cited references using a formatting structure. A system includes a processor to process the document to extract embedded metadata associated with the set of cited references. The processor executes code associated with a reference validation software module and automatically recognizes the formatting structure and the embedded metadata. The processor automatically extracts the embedded metadata and compares the extracted metadata against an authority database to determine the validity of the set of cited references.

System and method for citation processing, presentation and transport and for validating references

Name disambiguation is a perennial challenge for any large and growing dataset but is particularly significant for scientific publication data where documents and ideas are linked through citations and depend on highly accurate authorship. Differentiating personal names in scientific publications is a substantial problem as many names are not sufficiently distinct due to the large number of researchers active in most academic disciplines today. As more and more documents and citations are published every year, any system built on this data must be continually retrained and reclassified to remain relevant and helpful. Recently, some incremental learning solutions have been proposed, but most of these have been limited to small-scale simulations and do not exhibit the full heterogeneity of the millions of authors and papers in real world data. In our work, we propose a probabilistic model that simultaneously uses a rich set of metadata and reduces the amount of pairwise comparisons needed for new articles. We suggest an approach to disambiguation that classifies in an incremental fashion to alleviate the need for retraining the model and re-clustering all papers and uses fewer parameters than other algorithms. Using a published dataset, we obtained the highest K-measure which is a geometric mean of cluster and author-class purity. Moreover, on a difficult author block from the Clarivate Analytics Web of Science, we obtain higher precision than other algorithms.

Incremental Author Name Disambiguation for Scientific Citation Data

Exemplary embodiments of the present disclosure are directed to implementing image-based retrieval of a cited reference in a written work. A unique alphanumeric identifier extracted from an image taken of a portion of a written work can be programmatically compared to stored identifiers in an authority database in response to a request received from a portable computing device. Cited reference data can be retrieved from the authority database in response to a favorably comparison of the unique alphanumeric identifier to at least one of the stored identifiers associated with a reference stored in the authority database and the cited reference data can be provided to the portable computing device for output on the display of the portable computing device.

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